{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "d9388c44",
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "0208a368",
   "metadata": {},
   "outputs": [],
   "source": [
    "x = range(-10,10,1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "f88101b6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[-10, -9, -8, -7, -6, -5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "list(x)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "3a0b8723",
   "metadata": {},
   "outputs": [],
   "source": [
    "y1 = [xi ** 2 for xi in x]\n",
    "y2 = [xi ** 3 for xi in x]\n",
    "y3 = [1.414] * len(x)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "7864bb88",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x28779720340>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(x,y1)\n",
    "plt.plot(x,y2)\n",
    "plt.plot(x,y3)\n",
    "plt.xlabel(\"iteration number\",fontsize = 18)\n",
    "plt.ylabel(\"Xnew\",fontsize = 18)\n",
    "plt.legend([\"x^2\",\"x^3\",\"y=1.414\"],fontsize = 12)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "6f5a02b2",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
